Maltus71✠

Maltus71✠ — CS2 Stats

DE76561198380972619[U:1:420706891]Steam profile ↗✓ No bans

1,217Tracked matches46%Win rate2020Tracked since
2,250Hours in CS9Hrs last 2 wks
CSDB Rating6.0 SolidPositional Player
Premier CS Rating20,000Top 50% of 212,133 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#83366 of 259024 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,000 +1,773 28 Jul – 27 Oct · 28 days played
16,75020,800peak 20,80028 Jul27 Oct
21,128Peak Premier in tracked matches
29Days played since 2026-07-28

Premier CS Rating

  • 800 below peak (20,800)
  • -721 over 30 days · declining
  • +1,941 over 90 days
  • Next: Red band at 25,000 — 5,000 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPink band medianRed band medianvs Red band
Headshot rate36.7%46.9%49.3%12.6% short
Shot accuracy6.4%13.0%13.4%7.0% short
Kill/death ratio0.931.081.120.19 short
Match win rate43.7%46.7%48.5%4.8% short

This profile sits below the typical Red band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMaltus71✠PREMIER20,000 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim65
Positioning63
Utility61

0–100 skill scores via Leetify.

Recent form

COLD50–40–10Last 10050%Win rateTLWTWTWLLL

Last 10 vs previous 10: −30pp win rate · +0.02 avg rating · +2.3pp headshot accuracy · +84ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–1–2 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 25%
  • Avg reaction 652ms

Last 10

  • 3–4–3 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 622ms

Last 20

  • 9–6–5 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 580ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.7 against its own average).

Aim6.5
Utility6.1
Positioning6.3
Opening Duels3.4
Clutch2.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 80% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

T openings. 70% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 70% on T to 42% on CT — first contacts on the defending side are being lost.

Reaction time. 552ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim6.5
Positioning6.3
Utility6.1
Mechanics4.8
Opening Duels6.5
Win Impact3.7

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time561ms−1ms
first ⅓ avg 563ms → last ⅓ avg 561ms
Headshot accuracy17.5%+2.9%
first ⅓ avg 14.5% → last ⅓ avg 17.5%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.17Best match rating · 9–4 · inferno, 25 Oct →
44%Best headshot accuracy · 9–4 · inferno, 25 Oct →
328msFastest reaction time · 7–13 · dust2, 15 Sept →
13–2Biggest win · cache, 25 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
13–9In matches decided by ≤2 rounds
15Overtime games

Map breakdown

ancientBest map · 89% over 9dust2Weakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
infernoC239–1439%0.00
cacheB209–1145%-0.00
anubisA169–756%-0.01
dust2D144–1029%0.00
mirageS139–469%0.01
ancientS98–189%0.03
nuke—31–233%-0.02
debris—11–0100%0.05
vertigo—10–10%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

55,766Lifetime kills
0.93K/D
3,636Matches
43.7%Match win rate
36.7%Headshot %
6.4%Shot accuracy
8,062MVPs
1,186Hours (in match)
4,034Bombs planted
713Bombs defused

Most-used weapons

AK-4713,345
AWP6,057
MP92,913
MAC-101,825
P901,391

Lifetime map wins

11,019inferno
2,633dust2
1,617nuke
649vertigo
390train
333cbble
315office
42ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

24Matches
50%Win rate
1.22Avg K/D
85.5ADR
40%Headshot %

Clutches & streaks

33%1v1 clutch win
33%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient743%1.5219.7
Inferno667%1.1112.7
Dust2450%1.4616.0
Nuke1100%2.5015.0
Vertigo1100%0.448.0
Mirage10%0.466.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.6%Headshot accuracy
34.8%Accuracy (enemy spotted)
33.1%Spray accuracy
71.5%Counter-strafing
9.0°Preaim
552msReaction time
70.0%T opening success
41.9%CT opening success
0.62Enemies flashed / flash
5.8%Flash assists
10.95HE damage / grenade
9.41Flashes / match

Recommended for you

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–80.0311%29 Oct →
dust24–13-0.0322%27 Oct →
cache13–20.0423%25 Oct →
mirage15–15-0.0224%25 Oct →
inferno9–40.1744%25 Oct →
inferno8–80.0426%23 Oct →
debris9–70.0512%23 Oct →
cache8–130.0311%23 Oct →
anubis5–13-0.0221%22 Oct →
cache10–13-0.0413%22 Oct →
cache13–110.0113%22 Oct →
inferno13–100.0218%20 Oct →
mirage13–11-0.0018%20 Oct →
dust211–13-0.0118%20 Oct →
cache13–50.0515%14 Oct →
inferno13–6-0.0221%14 Oct →
cache15–15-0.0017%14 Oct →
dust213–60.0919%14 Oct →
dust215–150.0224%14 Oct →
cache14–16-0.0421%14 Oct →
cache9–130.0514%12 Oct →
mirage13–80.1718%12 Oct →
cache11–130.0215%12 Oct →
anubis3–13-0.1315%12 Oct →
ancient13–90.0019%12 Oct →
cache7–13-0.0414%9 Oct →
mirage13–11-0.069%9 Oct →
inferno11–13-0.019%9 Oct →
nuke13–7-0.0418%8 Oct →
mirage0–13-0.1012%8 Oct →
mirage13–40.0217%8 Oct →
ancient2–13-0.0315%29 Sept →
inferno15–15-0.0512%29 Sept →
inferno5–13-0.0513%25 Sept →
anubis13–110.0015%25 Sept →
anubis13–8-0.0212%24 Sept →
mirage5–13-0.0213%23 Sept →
mirage13–70.0120%23 Sept →
cache5–13-0.098%17 Sept →
cache13–110.0217%16 Sept →
dust215–150.0112%15 Sept →
anubis16–120.0422%15 Sept →
dust27–13-0.0422%15 Sept →
anubis0–120.0118%11 Sept →
dust28–10.1022%11 Sept →
inferno11–130.058%10 Sept →
dust23–13-0.014%9 Sept →
ancient13–110.0213%9 Sept →
ancient13–9-0.055%9 Sept →
nuke15–15-0.039%9 Sept →
cache13–40.0213%9 Sept →
cache10–130.0221%8 Sept →
anubis13–6-0.057%8 Sept →
mirage13–11-0.0112%7 Sept →
dust25–13-0.0613%7 Sept →
mirage4–13-0.0321%7 Sept →
inferno13–8-0.038%7 Sept →
inferno13–70.0310%7 Sept →
cache16–14-0.0114%5 Sept →
inferno1–13-0.068%5 Sept →
cache7–13-0.036%5 Sept →
cache13–100.0113%5 Sept →
cache16–13-0.0222%5 Sept →
anubis13–40.0212%5 Sept →
inferno10–13-0.0216%5 Sept →
inferno16–13-0.029%5 Sept →
anubis7–13-0.076%5 Sept →
ancient13–30.1113%5 Sept →
anubis13–30.056%5 Sept →
inferno10–130.0018%5 Sept →
dust213–30.0618%4 Sept →
mirage13–30.1524%4 Sept →
anubis11–130.0115%4 Sept →
anubis13–11-0.0315%4 Sept →
cache8–13-0.0521%4 Sept →
dust210–130.0112%4 Sept →
mirage16–140.0315%4 Sept →
ancient13–8-0.0610%4 Sept →
inferno13–11-0.0110%4 Sept →
cache13–80.0014%3 Sept →
inferno7–13-0.035%3 Sept →
dust213–8-0.0117%3 Sept →
ancient13–100.1218%3 Sept →
mirage16–130.0319%3 Sept →
inferno13–160.0015%2 Sept →
inferno13–90.0614%2 Sept →
anubis9–130.0218%2 Sept →
ancient13–70.098%2 Sept →
inferno7–13-0.056%30 Jul →
anubis6–0-0.020%30 Jul →
dust211–13-0.0219%29 Jul →
inferno11–130.0113%29 Jul →
dust210–13-0.0514%29 Jul →
vertigo11–13-0.0315%29 Jul →
inferno12–120.0017%29 Jul →
inferno13–7-0.0524%29 Jul →
ancient13–100.0716%29 Jul →
anubis13–11-0.0413%29 Jul →
nuke15–150.0117%28 Jul →
anubis10–130.0317%28 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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